Search Results for author: Petter Mæhlum

Found 8 papers, 7 papers with code

Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian

1 code implementation WS (NoDaLiDa) 2019 Petter Mæhlum, Jeremy Barnes, Lilja Øvrelid, Erik Velldal

This paper documents the creation of a large-scale dataset of evaluative sentences – i. e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from various news-sources.

Sentiment Analysis

NARC – Norwegian Anaphora Resolution Corpus

1 code implementation COLING (CRAC) 2022 Petter Mæhlum, Dag Haug, Tollef Jørgensen, Andre Kåsen, Anders Nøklestad, Egil Rønningstad, Per Erik Solberg, Erik Velldal, Lilja Øvrelid

We present the Norwegian Anaphora Resolution Corpus (NARC), the first publicly available corpus annotated with anaphoric relations between noun phrases for Norwegian.

Relation

Estimating Lexical Complexity from Document-Level Distributions

1 code implementation1 Apr 2024 Sondre Wold, Petter Mæhlum, Oddbjørn Hove

We also investigate the relationship between our complexity measure and certain features typically associated with complexity in the literature, such as word length, frequency, and the number of syllables.

Annotating Norwegian Language Varieties on Twitter for Part-of-Speech

no code implementations VarDial (COLING) 2022 Petter Mæhlum, Andre Kåsen, Samia Touileb, Jeremy Barnes

We show that models trained on Universal Dependency (UD) data perform worse when evaluated against this dataset, and that models trained on Bokm{\aa}l generally perform better than those trained on Nynorsk.

POS

NorDial: A Preliminary Corpus of Written Norwegian Dialect Use

1 code implementation NoDaLiDa 2021 Jeremy Barnes, Petter Mæhlum, Samia Touileb

Norway has a large amount of dialectal variation, as well as a general tolerance to its use in the public sphere.

A Fine-Grained Sentiment Dataset for Norwegian

1 code implementation LREC 2020 Lilja Øvrelid, Petter Mæhlum, Jeremy Barnes, Erik Velldal

We introduce NoReC_fine, a dataset for fine-grained sentiment analysis in Norwegian, annotated with respect to polar expressions, targets and holders of opinion.

Sentiment Analysis

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